| Banditsum: Extractive summarization as a contextual bandit Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 241 | 2018 |
| EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing Y Dong, Z Li, M Rezagholizadeh, JCK Cheung Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 193 | 2019 |
| Factual error correction for abstractive summarization models M Cao, Y Dong, J Wu, JCK Cheung Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 170 | 2020 |
| Hallucinated but factual! inspecting the factuality of hallucinations in abstractive summarization M Cao, Y Dong, JCK Cheung Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 148 | 2022 |
| Survey of vulnerabilities in large language models revealed by adversarial attacks E Shayegani, MAA Mamun, Y Fu, P Zaree, Y Dong, N Abu-Ghazaleh arXiv preprint arXiv:2310.10844, 2023 | 136 | 2023 |
| Multi-fact correction in abstractive text summarization Y Dong, S Wang, Z Gan, Y Cheng, JCK Cheung, J Liu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 131 | 2020 |
| Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models E Shayegani, Y Dong, N Abu-Ghazaleh International Conference on Learning Representations (ICLR 2024), 2024 | 128* | 2024 |
| Multi-XScience: A large-scale dataset for extreme multi-document summarization of scientific articles Y Lu, Y Dong, L Charlin Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 116 | 2020 |
| Discourse-Aware Unsupervised Summarization of Long Scientific Documents Y Dong, A Romascanu, JCK Cheung Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 89* | 2021 |
| A hierarchical neural attention-based text classifier K Sinha, Y Dong, JCK Cheung, D Ruths Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 73 | 2018 |
| Threaded ensembles of autoencoders for stream learning Y Dong, N Japkowicz Computational Intelligence 34 (1), 261-281, 2018 | 71 | 2018 |
| A survey on neural network-based summarization methods Y Dong arXiv preprint arXiv:1804.04589, 2018 | 51 | 2018 |
| Bringing structure into summaries: a faceted summarization dataset for long scientific documents R Meng, K Thaker, L Zhang, Y Dong, X Yuan, T Wang, D He Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 50 | 2021 |
| Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses M Grenander, Y Dong, JCK Cheung, A Louis Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 45 | 2019 |
| Pyramidkv: Dynamic kv cache compression based on pyramidal information funneling Z Cai, Y Zhang, B Gao, Y Liu, T Liu, K Lu, W Xiong, Y Dong, B Chang, ... arXiv preprint arXiv:2406.02069, 2024 | 36 | 2024 |
| Text generation with text-editing models E Malmi, Y Dong, J Mallinson, A Chuklin, J Adamek, D Mirylenka, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 30 | 2022 |
| Faithful to the document or to the world? mitigating hallucinations via entity-linked knowledge in abstractive summarization Y Dong, J Wieting, P Verga Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 | 30 | 2022 |
| Learning multi-task communication with message passing for sequence learning P Liu, J Fu, Y Dong, X Qiu, JCK Cheung Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4360-4367, 2019 | 28 | 2019 |
| Watermarking conditional text generation for AI detection: Unveiling challenges and a semantic-aware watermark remedy Y Fu, D Xiong, Y Dong The 38th Annual AAAI Conference on Artificial Intelligence, 2024 | 23 | 2024 |
| Threaded ensembles of supervised and unsupervised neural networks for stream learning Y Dong, N Japkowicz Advances in Artificial Intelligence: 29th Canadian Conference on Artificial …, 2016 | 20 | 2016 |
Jackie Chi Kit CheungMcGill UniversityVahvistettu sähköpostiosoite verkkotunnuksessa cs.mcgill.ca